Effects of different interventions on internet addiction: A meta-analysis of random controlled trials

荟萃分析 心理干预 医学 上瘾 互联网 心理学 随机效应模型 临床心理学 内科学 精神科 计算机科学 万维网
作者
Xueqing Zhang,Jianghui Zhang,Kexin Zhang,Juan Ren,Xiaoyan Lu,Tianli Wang,Huayu Yang,Haiyun Guo,Guojing Yuan,Zhihui Zhu,Jiahu Hao,Ying Sun,Puyu Su,Linsheng Yang,Zhihua Zhang
出处
期刊:Journal of Affective Disorders [Elsevier]
卷期号:313: 56-71 被引量:39
标识
DOI:10.1016/j.jad.2022.06.013
摘要

To evaluate the effects of different interventions on Internet addiction (IA), a meta-analysis and network meta-analyses were performed. We searched PubMed, Cochrane, Embase, Web of Science, PsycINFO, ProQuest, CNKI, WanFang, VIP database, and CBM from their inception to August 2021 to identify randomized controlled trials (RCTs) where the effects of interventions on IA were assessed. The risk of bias was evaluated according to the Revised Cochrane risk-of-bias tool for randomized trials (RoB2). The R studio Software and Stata 14.0 were used to perform traditional meta-analysis and network meta-analyses. A total of 59 RCTs including 3832 participants were incorporated into meta-analysis. The results of the traditional meta-analysis of 24 studies showed that CBT, group counseling, sports intervention, and Internet-based intervention could significantly reduce IA levels (SMD = −1.90, 95%CI: −2.26 to −1.55, P < 0.01, I2 = 85.9%) as compared to no-treatment control groups. Network meta-analyses based on different scales showed that combined interventions had the highest probability of being the best interventions for IA (SUCRA = 91.0 % based on IAT; SUCRA = 89.0 % based on CIAS). Most interventions have significant effects on the treatment of IA. Compared with single interventions, combined interventions showed a more pronounced improvement in Internet addiction symptoms.
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